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376f8f130939ea4c01e718c71e2cf8f88577e5ef | # GEM Submission
Submission name: SeqPlan - RotoWire
| GEM-submissions/ratishsp__seqplan__1646397829 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-04T12:43:49+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "SeqPlan - RotoWire", "tags": ["evaluation", "benchmark"]} | 2022-03-14T09:21:16+00:00 | [] | [] | TAGS
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| # GEM Submission
Submission name: SeqPlan - RotoWire
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4bbf7c8537c8d75ea9b57ec23b4e33505d365cce |
# Dataset Card alvenir_asr_da_eval
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#da... | Alvenir/alvenir_asr_da_eval | [
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"region:us"
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#license-cc-by-4.0 #region-us
|
# Dataset Card alvenir_asr_da_eval
## Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Prompts/sentence selection
- Recording
- Evaluation
- Personal and Sensitive Information
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3cf59334aa52a74c008a67a3de30f98dd8a28118 |
# XTREME-S
## Dataset Description
- **Fine-Tuning script:** [research-projects/xtreme-s](https://github.com/huggingface/transformers/tree/master/examples/research_projects/xtreme-s)
- **Paper:** [XTREME-S: Evaluating Cross-lingual Speech Representations](https://arxiv.org/abs/2203.10752)
- **Leaderboard:** [TODO(PVP... | google/xtreme_s | [
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# XTREME-S
## Dataset Description
- Fine-Tuning script: research-projects/xtreme-s
- Paper: XTREME-S: Evaluating Cross-lingual Speech Representations
- Leaderboard: [TODO(PVP)]()
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# Dataset Card for ElkarHizketak
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | elkarhizketak | [
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|
# Dataset Card for ElkarHizketak
## Table of Contents
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fb8b329c87153970e0d65e79f8b50220cc2b5ed9 |
# Dataset Card for HashSet Distant Sampled
## Dataset Description
- **Repository:** [prashantkodali/HashSet](https://github.com/prashantkodali/HashSet)
- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741)
### Dataset Summary
Hashset is a new dataset consisting on 1.9k manu... | ruanchaves/hashset_distant_sampled | [
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"word-segmentation",
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|
# Dataset Card for HashSet Distant Sampled
## Dataset Description
- Repository: prashantkodali/HashSet
- Paper: HashSet -- A Dataset For Hashtag Segmentation
### Dataset Summary
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0df29003f66c0cb4e17e908cb42e3843d4bd6b11 |
# Dataset Card for HashSet Distant
## Dataset Description
- **Repository:** [prashantkodali/HashSet](https://github.com/prashantkodali/HashSet)
- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741)
### Dataset Summary
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|
# Dataset Card for HashSet Distant
## Dataset Description
- Repository: prashantkodali/HashSet
- Paper: HashSet -- A Dataset For Hashtag Segmentation
### Dataset Summary
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0a9c9a5d4ce9c5607c1939227efded92d225b28d | Edited version of cited dataset
Citation: Gupta, Raj, Vishwanath, Ajay, and Yang, Yinping. Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes: Twitter COVID dataset Jan 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distr... | chiarab/covid-tweet-sentiment | [
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#region-us
| Edited version of cited dataset
Citation: Gupta, Raj, Vishwanath, Ajay, and Yang, Yinping. Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes: Twitter COVID dataset Jan 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distr... | [] | [
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d5aeed029db258e17d93b7e2bf0d1a84ff4f56e5 |
# Dataset Card for HashSet Manual
## Dataset Description
- **Repository:** [prashantkodali/HashSet](https://github.com/prashantkodali/HashSet)
- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741)
### Dataset Summary
Hashset is a new dataset consisting on 1.9k manually anno... | ruanchaves/hashset_manual | [
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|
# Dataset Card for HashSet Manual
## Dataset Description
- Repository: prashantkodali/HashSet
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# Dataset Card for STAN Large
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)... | ruanchaves/stan_large | [
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# Dataset Card for STAN Large
## Table of Contents
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- Dataset Description
- Dataset Summary
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- Dataset Creation
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- Citation Information
- Contributions
## Dataset Description
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af6d38e28c5033a1f89b50b9e26950fe73550e29 |
# Dataset Card for STAN Small
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)... | ruanchaves/stan_small | [
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|
# Dataset Card for STAN Small
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Additional Information
- Citation Information
- Contributions
## Dataset Description
- Repository: mounicam/h... | [
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27f9f67d4662570c17e251438164c3508643c32d |
# Dataset Card for BOUN
## Dataset Description
- **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor)
- **Paper:** [Segmenting Hashtags and Analyzing Their Grammatical Structure](https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.23989?author_access_token=qbKcE1jrre5nbv_Tn9... | ruanchaves/boun | [
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|
# Dataset Card for BOUN
## Dataset Description
- Repository: ardax/hashtag-segmentor
- Paper: Segmenting Hashtags and Analyzing Their Grammatical Structure
### Dataset Summary
Dev-BOUN is a Development set that includes 500 manually segmented hashtags. These are selected from tweets about movies,
tv shows, popula... | [
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292e00146ecc1be6feefdb52362eace417791f4f |
# Dataset Card for Dev-Stanford
## Dataset Description
- **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor)
- **Paper:** [Segmenting Hashtags and Analyzing Their Grammatical Structure](https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.23989?author_access_token=qbKcE1jrre... | ruanchaves/dev_stanford | [
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|
# Dataset Card for Dev-Stanford
## Dataset Description
- Repository: ardax/hashtag-segmentor
- Paper: Segmenting Hashtags and Analyzing Their Grammatical Structure
### Dataset Summary
1000 hashtags manually segmented by Çelebi et al. for development purposes,
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48f64996c295b22e76cec4454362babfad31f581 |
# Dataset Card for Test-Stanford
## Dataset Description
- **Paper:** [Towards Deep Semantic Analysis Of Hashtags](https://arxiv.org/abs/1501.03210)
### Dataset Summary
Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
### Languages
English
## Dataset Structure
### Data Instances
```
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|
# Dataset Card for Test-Stanford
## Dataset Description
- Paper: Towards Deep Semantic Analysis Of Hashtags
### Dataset Summary
Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
### Languages
English
## Dataset Structure
### Data Instances
### Data Fields
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2d33f11d465c83eb043544177daceb8f4d508343 |
# Battery Abstracts Dataset
This dataset includes 29,472 battery papers and 17,191 non-battery papers, a total of 46,663 papers. These papers are manually labelled in terms of the journals to which they belong. 14 battery journals and 1,044 non battery journals were selected to form this database.
- training_data.c... | batterydata/paper-abstracts | [
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# Battery Abstracts Dataset
This dataset includes 29,472 battery papers and 17,191 non-battery papers, a total of 46,663 papers. These papers are manually labelled in terms of the journals to which they belong. 14 battery journals and 1,044 non battery journals were selected to form this database.
- training_data.c... | [
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586ba42e6c8a76b305b4e27fc20ce99226a2c1d4 | A new Swahili tweet dataset for sentiment analysis.
## Issues ⚠️
Incase you have any difficulties or issues while trying to run the script
you can raise it on the issues section.
## Pull Requests 🔧
If you have something to add or new idea to implement, you are welcome to create a pull requests on impro... | Davis/Swahili-tweet-sentiment | [
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#license-mit #region-us
| A new Swahili tweet dataset for sentiment analysis.
## Issues ️
Incase you have any difficulties or issues while trying to run the script
you can raise it on the issues section.
## Pull Requests
If you have something to add or new idea to implement, you are welcome to create a pull requests on improvem... | [
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4fb954beab9774a12cac3a13ee08616d5e10df6d |
# Dataset Card for NRU-HSE
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- ... | ruanchaves/nru_hse | [
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|
# Dataset Card for NRU-HSE
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Additional Information
- Citation Information
- Contributions
## Dataset Description
- Repository: glushkovato/h... | [
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e51544fd07e72dfa6bf830b56e417adba8dc50ba |
# Dataset Card for The Loyola University of Delaware Identifier Splitting Oracle
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instance... | ruanchaves/loyola | [
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# Dataset Card for The Loyola University of Delaware Identifier Splitting Oracle
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Additional Information
- Citation Information
- Contribution... | [
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f47b2a116e3e6ad75fc4dbf17a4c8527d0fb0126 | This dataset is presented for the task of Answering Questions on the Holy Qur'an.
https://sites.google.com/view/quran-qa-2022
QRCD (Qur'anic Reading Comprehension Dataset) is composed of 1,093 tuples of question-passage pairs that are coupled with their extracted answers to constitute 1,337 question-passage-answer tri... | AhmedSSoliman/QRCD | [
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| This dataset is presented for the task of Answering Questions on the Holy Qur'an.
URL
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f60c3e93c0985c90741d15948afc694f9460b3d9 |
# Dataset Card for synQA
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [... | mbartolo/synQA | [
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|
# Dataset Card for synQA
## Table of Contents
- Dataset Description
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1877395c47bcf77735761c694234dd55d3598bc5 |
# Dataset Card for BT11
## Dataset Description
- **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf)
### Dataset Summary
In programming languages, identifiers are tokens (also called symbols) which... | ruanchaves/bt11 | [
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# Dataset Card for BT11
## Dataset Description
- Paper: Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF
### Dataset Summary
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5ccd62cfd185abd77dffc846d2cd3499e0c286c9 |
# Dataset Card for Binkley
## Dataset Description
- **Paper:** [Normalizing Source Code Vocabulary](https://www.researchgate.net/publication/224198190_Normalizing_Source_Code_Vocabulary)
### Dataset Summary
In programming languages, identifiers are tokens (also called symbols) which name language entities.
Some of... | ruanchaves/binkley | [
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|
# Dataset Card for Binkley
## Dataset Description
- Paper: Normalizing Source Code Vocabulary
### Dataset Summary
In programming languages, identifiers are tokens (also called symbols) which name language entities.
Some of the kinds of entities an identifier might denote include variables, types, labels, subroutin... | [
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df859ecce54578af17e873cf79438b082632de1d |
# Dataset Card for Jhotdraw
## Dataset Description
- **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf)
### Dataset Summary
In programming languages, identifiers are tokens (also called symbols) w... | ruanchaves/jhotdraw | [
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"word-segmentation",
"region:us"
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|
# Dataset Card for Jhotdraw
## Dataset Description
- Paper: Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF
### Dataset Summary
In programming languages, identifiers are tokens (also called symbols) which name language entities.
Some of the kinds of entities an identi... | [
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9046da8c9a595ead11d7d243780db677f2ce9618 |
# Dataset Card for Lynx
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Da... | ruanchaves/lynx | [
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] | 2022-03-05T23:19:48+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated"], "language": ["code"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["structure-prediction", "code-generation", "conditional-text-g... | 2022-10-20T18:12:51+00:00 | [] | [
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|
# Dataset Card for Lynx
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Additional Information
- Citation Information
- Contributions
## Dataset Description
- Paper: Helpful or Not? An ... | [
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dec0e19ff4bab5b5b1a972909b2ea38118644d0f |
# Dataset Card for SNAP
## Dataset Description
- **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor)
- **Paper:** [Segmenting hashtags using automatically created training data](http://www.lrec-conf.org/proceedings/lrec2016/pdf/708_Paper.pdf)
### Dataset Summary
Automatically segm... | ruanchaves/snap | [
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] | 2022-03-06T00:17:23+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["structure-prediction"], "task_ids": [], "pretty_name": "SNAP", ... | 2022-10-20T18:12:47+00:00 | [] | [
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|
# Dataset Card for SNAP
## Dataset Description
- Repository: ardax/hashtag-segmentor
- Paper: Segmenting hashtags using automatically created training data
### Dataset Summary
Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatica... | [
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0a295fc67ae9892cf83d9f585fbd5f29330bf502 | A collection of 38,176 emoji images from Facebook, Google, Apple, WhatsApp, Samsung, [JoyPixels](https://www.joypixels.com/), Twitter, [emojidex](https://www.emojidex.com/), LG, [OpenMoji](https://openmoji.org/), and Microsoft. It includes all the emojis for these apps/platforms as of early 2022.
* Counts: Facebook=36... | rocca/emojis | [
"region:us"
] | 2022-03-06T02:31:30+00:00 | {} | 2022-04-29T08:37:55+00:00 | [] | [] | TAGS
#region-us
| A collection of 38,176 emoji images from Facebook, Google, Apple, WhatsApp, Samsung, JoyPixels, Twitter, emojidex, LG, OpenMoji, and Microsoft. It includes all the emojis for these apps/platforms as of early 2022.
* Counts: Facebook=3664, Google=3664, Apple=3961, WhatsApp=3519, Samsung=3752, JoyPixels=3538, Twitter=35... | [
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72047fee5890ca82c752902aedb138cc72c6fb96 |
# Dataset Card for COVID-19 French News dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structur... | gustavecortal/fr_covid_news | [
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"size_categories:10K... | 2022-03-06T21:28:35+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["fr"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification", "sequence-modeling", "conditional-text-generation... | 2022-10-20T18:01:24+00:00 | [] | [
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# Dataset Card for COVID-19 French News dataset
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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e5322fec79e6702f69d79829efdc7853f1853802 | ---
annotations_creators:
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languages:
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multilinguality:
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source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
--- | FinScience/FS-distilroberta-fine-tuned | [
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"en"
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#language-English #region-us
| ---
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source_datasets:
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task_categories:
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task_ids:
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87615eac7add0a10355c50b25b5cff17e782cad3 |
# Dataset Card for "MIMICause"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Dat... | pensieves/mimicause | [
"license:apache-2.0",
"arxiv:2110.07090",
"region:us"
] | 2022-03-07T20:33:38+00:00 | {"license": "apache-2.0", "pretty_name": "MIMICause"} | 2022-03-29T13:54:48+00:00 | [
"2110.07090"
] | [] | TAGS
#license-apache-2.0 #arxiv-2110.07090 #region-us
| Dataset Card for "MIMICause"
============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Citation Information
Dataset Description
-------------------
*... | [
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86d2ca7da33fbef822c6a0786c12eaa8cb3772fa |
# Quasper into squad version
This is a change of format of [qasper](https://huggingface.co/datasets/qasper) dataset into squad format. | z-uo/qasper-squad | [
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# Quasper into squad version
This is a change of format of qasper dataset into squad format. | [
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4a906f0b97bc7341bfc5d4453ae23a78edefc0b3 |
# Dataset Card for the-antiwork-subreddit-dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instanc... | SocialGrep/the-antiwork-subreddit-dataset | [
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] | 2022-03-08T21:09:51+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T16:57:34+00:00 | [] | [
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|
# Dataset Card for the-antiwork-subreddit-dataset
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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90b930b5609f5f668c765a5d23f9610d5d0dbcf1 | Dataset for Loyal Health Inc Software Engineer Machine Learning Interview | christianloyal/loyal_clinc_MLE | [
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"region:us"
] | 2022-03-09T00:42:08+00:00 | {"license": "mit"} | 2022-03-10T17:50:54+00:00 | [] | [] | TAGS
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| Dataset for Loyal Health Inc Software Engineer Machine Learning Interview | [] | [
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1b9776677fd2d5b21056e200089942709d0c3206 | This is my first dataset | hadehuang/testdataset | [
"region:us"
] | 2022-03-09T08:20:00+00:00 | {} | 2022-03-09T08:24:49+00:00 | [] | [] | TAGS
#region-us
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09dbf84b296f8ecf26bed37536f39a14a2048657 | # Dataset Card for Emoevent
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... | fmplaza/EmoEvent | [
"language:en",
"language:es",
"license:apache-2.0",
"region:us"
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"en",
"es"
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#language-English #language-Spanish #license-apache-2.0 #region-us
| Dataset Card for Emoevent
=========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Source Data
+ Annotations
*... | [
"### Dataset Summary\n\n\nEmoEvent is a multilingual emotion dataset of tweets based on different events that took place in April 2019.\nThree annotators labeled the tweets following the six Ekman’s basic emotion model (anger, fear, sadness, joy, disgust, surprise) plus the “neutral or other emotions” category. Mor... | [
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d74c67aec2ac5a2f561bcb30aa8e1fc7d7d88b92 |
# Dataset Card for "IndicParaphrase"
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-le... | ai4bharat/IndicParaphrase | [
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... | 2022-03-09T11:28:53+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["conditional... | 2022-10-13T05:08:55+00:00 | [
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==================================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data ... | [
"### Dataset Summary\n\n\nIndicParaphrase is the paraphrasing dataset released as part of IndicNLG Suite. Each\ninput is paired with up to 5 references. We create this dataset in eleven\nlanguages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total\nsize of the dataset is 5.57M.",
"### Supported Tasks... | [
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03d5016d18872b209e80fd9eb913225c096defd0 | # Comparing model predictions and ground truth labels with Rubrix and Hugging Face
## Build dataset
You can skip this step if you run:
```python
from datasets import load_dataset
import rubrix as rb
ds = rb.DatasetForTextClassification.from_datasets(load_dataset("rubrix/sst2_with_predictions", split="train"))
```... | rubrix/sst2_with_predictions | [
"region:us"
] | 2022-03-09T14:13:30+00:00 | {} | 2022-09-16T12:23:05+00:00 | [] | [] | TAGS
#region-us
| # Comparing model predictions and ground truth labels with Rubrix and Hugging Face
## Build dataset
You can skip this step if you run:
Otherwise, the following cell will run the pipeline over the training set and store labels and predictions.
Pushing dataset shards to the dataset hub: 0%| ... | [
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8279d43fc305c5248886d841cb49bd8380456ec9 |
## WARNING: this dataset is an extract of the OSCAR dataset published here to simulate the use of the full dataset in low-resource contexts and debug codebases that would eventually use the original OSCAR dataset.
Using this dataset is equivalent to using a processed version of OSCAR legally speaking. I take no credit... | nthngdy/oscar-mini | [
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"language:azb"... | 2022-03-09T14:18:51+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["af", "am", "ar", "arz", "as", "az", "azb", "ba", "be", "bg", "bn", "bo", "br", "ca", "ce", "ceb", "ckb", "cs", "cv", "cy", "da", "de", "dv", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gl", "gu", "he", "hi",... | 2022-12-06T11:05:51+00:00 | [
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## WARNING: this dataset is an extract of the OSCAR dataset published here to simulate the use of the full dataset in low-resource contexts and debug codebases that would eventually use the original OSCAR dataset.
Using this dataset is equivalent to using a processed version of OSCAR legally speaking. I take no credit... | [
"## WARNING: this dataset is an extract of the OSCAR dataset published here to simulate the use of the full dataset in low-resource contexts and debug codebases that would eventually use the original OSCAR dataset.\nUsing this dataset is equivalent to using a processed version of OSCAR legally speaking. I take no c... | [
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f1cb70125a6b1ad5dd0cc97501476309cf540b3d | # Dataset Card for Contextualized CommonGen(C2Gen)
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Data Splits](... | Non-Residual-Prompting/C2Gen | [
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"language:en",
"license:cc-by-sa-4.0",
"arxiv:1911.03705",
"region:us"
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"1911.03705"
] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-<100K #language-English #license-cc-by-sa-4.0 #arxiv-1911.03705 #region-us
| # Dataset Card for Contextualized CommonGen(C2Gen)
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Initial Data Collection and Normalization
- Licensing Information
## Da... | [
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a8158d1fac10864c3424d53662fe63bf7d82dd87 |
# Dataset Card for CLUTRR
## Table of Contents
## Dataset Description
### Dataset Summary
**CLUTRR** (**C**ompositional **L**anguage **U**nderstanding and **T**ext-based **R**elational **R**easoning), a diagnostic benchmark suite, is first introduced in (https://arxiv.org/abs/1908.06177) to test the systematic gene... | CLUTRR/v1 | [
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"language:en",
"license:unknown",
"arxiv:1908.06177",
"region:us"
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"en"
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#multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-unknown #arxiv-1908.06177 #region-us
| Dataset Card for CLUTRR
=======================
Table of Contents
-----------------
Dataset Description
-------------------
### Dataset Summary
CLUTRR (Compositional Language Understanding and Text-based Relational Reasoning), a diagnostic benchmark suite, is first introduced in (URL to test the systematic gene... | [
"### Dataset Summary\n\n\nCLUTRR (Compositional Language Understanding and Text-based Relational Reasoning), a diagnostic benchmark suite, is first introduced in (URL to test the systematic generalization and inductive reasoning capabilities of NLU systems.\n\n\nThe CLUTRR benchmark allows us to test a model’s abil... | [
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095f98c5853b271b00c05bbe4f2167ecdbe8951f |
# Dataset Description
## Dataset Summary
This dataset is a mirror of the Uniprot/SwissProt database. It contains the names and sequences of >500K proteins.
This dataset was parsed from the FASTA file at https://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete/uniprot_sprot.fasta.gz.
... | damlab/uniprot | [
"region:us"
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#region-us
|
# Dataset Description
## Dataset Summary
This dataset is a mirror of the Uniprot/SwissProt database. It contains the names and sequences of >500K proteins.
This dataset was parsed from the FASTA file at URL
Supported Tasks and Leaderboards: None
Languages: English
## Dataset Structure
### Data Instances
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4887946743ee9325f7597ddadb72ece8b74a8105 | annotations_creators:
- Parth Parekh
languages:
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licenses:
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multilinguality:
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size_categories:
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source_datasets:
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task_categories:
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# Dataset Card for spotifinders
## Table of Contents
- [Dataset Description](#dataset-description)
... | juched/spotifinders | [
"region:us"
] | 2022-03-10T01:44:44+00:00 | {} | 2022-03-10T01:46:51+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
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licenses:
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# Dataset Card for spotifinders
## Table of Contents
- Dataset Description
- Dataset Summary
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51f31e2aa96a98b68b3595acca660904a3ffca33 | # AutoNLP Dataset for project: cat33
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This dataset has ... | kyleinincubated/autonlp-data-cat33 | [
"task_categories:text-classification",
"language:zh",
"region:us"
] | 2022-03-10T05:59:36+00:00 | {"language": ["zh"], "task_categories": ["text-classification"]} | 2022-10-25T09:03:04+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-classification #language-Chinese #region-us
| AutoNLP Dataset for project: cat33
==================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoNLP for proj... | [
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ad1f65afa83d161c5860ad126ab75c4287fb6cbe | en poems and genres test | Georgii/poetry-genre | [
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d9845634dc0f9cb48d4a26c9f6d8986fb87d2027 |
# Dataset Card for "IndicHeadlineGeneration"
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-task... | ai4bharat/IndicHeadlineGeneration | [
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... | 2022-03-10T09:58:27+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["27K<n<341K"], "source_datasets": ["original for Hindi, and modified [IndicGLU... | 2022-10-13T05:08:20+00:00 | [
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==========================================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
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53cfce5e0ca8da828ee1b6223dcf3ea986582812 |
# Dataset Card for "IndicSentenceSummarization"
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-t... | ai4bharat/IndicSentenceSummarization | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:5K<n<112K",
"source_datasets:original for Hindi, and modified [IndicGLUE](https://indicnlp.ai4bharat.org/indic-glue/) for other languages.",
"language:as",
"language:bn",
"language:gu",
... | 2022-03-10T09:59:05+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["5K<n<112K"], "source_datasets": ["original for Hindi, and modified [IndicGLUE... | 2022-10-13T05:08:31+00:00 | [
"2203.05437"
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=============================================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
-... | [
"### Dataset Summary\n\n\nIndicSentenceSummarization is the sentence summarization dataset released as part of IndicNLG Suite. Each\ninput sentence is paired with an output as summary. We create this dataset in eleven\nlanguages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total\nsize of the dataset is... | [
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9b177ff8d3eeaf8d07d2918546e9b79ee655e29b |
# Dataset Card for "IndicWikiBio"
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leade... | ai4bharat/IndicWikiBio | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1960<n<11,502",
"source_datasets:none. Originally generated from www.wikimedia.org.",
"language:as",
"language:bn",
"language:hi",
"language:kn",
"language:ml",
"language:or",
"lan... | 2022-03-10T09:59:23+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["as", "bn", "hi", "kn", "ml", "or", "pa", "ta", "te"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1960<n<11,502"], "source_datasets": ["none. Originally generated from www.wikimedia.org."... | 2022-10-13T05:08:34+00:00 | [
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===============================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits... | [
"### Dataset Summary\n\n\nThe WikiBio dataset released as part of IndicNLG Suite. Each\nexample has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine\nlanguages including as, bn, hi, kn, ml, or, pa, ta, te. The total\nsize of the dataset is 57,426.",
"### Supported Tasks and... | [
"TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-1960<n<11,502 #source_datasets-none. Originally generated from www.wikimedia.org. #language-Assamese #language-Bengali #language-Hindi #language-Kannada #language-Malayalam #language-Oriya (macrolangua... | [
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3c9cfa7c513097aa3e475ad34d8578c52b48514f |
# Dataset Card for "IndicQuestionGeneration"
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-task... | ai4bharat/IndicQuestionGeneration | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:98K<n<98K",
"source_datasets:we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.",
... | 2022-03-10T09:59:41+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["98K<n<98K"], "source_datasets": ["we start with the SQuAD question answering ... | 2022-10-13T05:08:25+00:00 | [
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==========================================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data ... | [
"### Dataset Summary\n\n\nIndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each\nexample has five fields: id, squad\\_id, answer, context and question. We create this dataset in eleven\nlanguages, including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is translated ... | [
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9e3533eec643aebede8aaa7ea781c9b58f721dd8 |
Singapore's holiday data from 2017 to 2022. | Mulin/sg-holiday | [
"license:mit",
"region:us"
] | 2022-03-10T14:22:27+00:00 | {"license": "mit"} | 2022-03-14T10:44:11+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Singapore's holiday data from 2017 to 2022. | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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153f48ba973d1b1f88cf97ec4d986bc13ffc9e63 |
<p align="center">
<br>
<img src="https://orca.dlnlp.ai/assets/orca_logo.png" width="55%"/>
<br>
<p>
<p align="center">
<!-- <a href="https://github.com/UBC-NLP/orca/releases"> -->
<!-- <img alt="GitHub release" src="https://img.shields.io/github/release/UBC-NLP/orca.svg"> </a>-->
<a href="https:... | UBC-NLP/orca | [
"task_categories:text-classification",
"task_categories:token-classification",
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"Arabic",
"NLU Benchmark",
"Natural Language Inference (NLI)",
"Question Answering (QA)",
"Semantic Textual Similarity and and Paraphrase (STSP)",
"Sentence Classifi... | 2022-03-10T19:45:30+00:00 | {"language": ["ara"], "task_categories": ["text-classification", "token-classification", "question-answering"], "viewer": false, "tags": ["Arabic", "NLU Benchmark", "Natural Language Inference (NLI)", "Question Answering (QA)", "Semantic Textual Similarity and and Paraphrase (STSP)", "Sentence Classification (SC)", "St... | 2023-11-22T17:56:13+00:00 | [
"2212.10758",
"2004.01401"
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"ara"
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<a href="URL
In this work, we introduce ORCA, a publicly available benchmark for Arabic language understanding evaluation. ORCA is carefully constructed to cover diverse Arabic varieties and a wide range of challenging Arabic understanding tasks exploiting 60 d... | [
"### (1) Natural Language Inference (NLI)",
"### (2) Question Answering (QA)",
"### (3) Semantic Textual Similarity and Paraphrase (STSP)",
"### (4) Sentence Classification (SC)",
"### (5) Structure Predictions (SP)",
"### (6) Topic Classification (TC)",
"### (7) Word Sense Disambiguation (WSD)\n\n\n\nH... | [
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de9bf1404880f4b7225e1cc0e9268192e57fefca |
## Description
**Gold standard annotations for profession detection in Spanish COVID-19 tweets**
The entire corpus contains 10,000 annotated tweets. It has been split into training, validation, and test (60-20-20). The current version contains the training and development set of the shared task with Gold Standa... | Biomedical-TeMU/ProfNER_corpus_NER | [
"license:cc-by-4.0",
"region:us"
] | 2022-03-10T21:34:00+00:00 | {"license": "cc-by-4.0"} | 2022-03-10T21:50:30+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## Description
Gold standard annotations for profession detection in Spanish COVID-19 tweets
The entire corpus contains 10,000 annotated tweets. It has been split into training, validation, and test (60-20-20). The current version contains the training and development set of the shared task with Gold Standard a... | [
"## Description\r\n\r\nGold standard annotations for profession detection in Spanish COVID-19 tweets\r\n\r\nThe entire corpus contains 10,000 annotated tweets. It has been split into training, validation, and test (60-20-20). The current version contains the training and development set of the shared task with Gold... | [
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"## Description\r\n\r\nGold standard annotations for profession detection in Spanish COVID-19 tweets\r\n\r\nThe entire corpus contains 10,000 annotated tweets. It has been split into training, validation, and test (60-20-20). The current version contains the training and ... | [
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"passage: TAGS\n#license-cc-by-4.0 #region-us \n## Description\r\n\r\nGold standard annotations for profession detection in Spanish COVID-19 tweets\r\n\r\nThe entire corpus contains 10,000 annotated tweets. It has been split into training, validation, and test (60-20-20). The current version contains the training a... |
41ea0e39f062f9ca791fd5ec95c364a22150b56e |
# Dataset Card for FeedbackQA
[📄 Read](https://arxiv.org/pdf/2204.03025.pdf)<br>
[💾 Code](https://github.com/McGill-NLP/feedbackqa)<br>
[🔗 Webpage](https://mcgill-nlp.github.io/feedbackqa/)<br>
[💻 Demo](http://206.12.100.48:8080/)<br>
[🤗 Huggingface Dataset](https://huggingface.co/datasets/McGill-NLP/feedbackQA)... | McGill-NLP/feedbackQA | [
"license:apache-2.0",
"arxiv:2204.03025",
"region:us"
] | 2022-03-10T23:50:07+00:00 | {"license": "apache-2.0"} | 2023-06-14T16:27:23+00:00 | [
"2204.03025"
] | [] | TAGS
#license-apache-2.0 #arxiv-2204.03025 #region-us
|
# Dataset Card for FeedbackQA
Read<br>
Code<br>
Webpage<br>
Demo<br>
Huggingface Dataset<br>
Discussions
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper:
- Leaderboard:
- Tasks: Question Answering
### Dataset Summary
FeedbackQA is a retrieval-based QA dataset that contains interactive feedba... | [
"# Dataset Card for FeedbackQA\n\n Read<br>\n Code<br>\n Webpage<br>\n Demo<br>\n Huggingface Dataset<br>\n Discussions",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper:\n- Leaderboard:\n- Tasks: Question Answering",
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393badffe34773d1536cfedfdc2abe14317d38e7 |
# The Sentence Splitter (SS) for Clinical Cases Written in Spanish
## Introduction
This repository contains the sentence splitting model trained using the SPACCC_SPLIT corpus (https://github.com/PlanTL-SANIDAD/SPACCC_SPLIT). The model was trained using the 90% of the corpus (900 clinical cases) and tested against... | Biomedical-TeMU/SPACCC_Sentence-Splitter | [
"license:cc-by-4.0",
"region:us"
] | 2022-03-11T01:59:57+00:00 | {"license": "cc-by-4.0"} | 2022-03-11T02:09:00+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| The Sentence Splitter (SS) for Clinical Cases Written in Spanish
================================================================
Introduction
------------
This repository contains the sentence splitting model trained using the SPACCC\_SPLIT corpus (URL The model was trained using the 90% of the corpus (900 clinica... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
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15
] | [
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b80bc1594c34c07cee7888a0c741ae41ac06b274 | # The Tokenizer for Clinical Cases Written in Spanish
## Introduction
This repository contains the tokenization model trained using the SPACCC_TOKEN corpus (https://github.com/PlanTL-SANIDAD/SPACCC_TOKEN). The model was trained using the 90% of the corpus (900 clinical cases) and tested against the 10% (100 clini... | Biomedical-TeMU/SPACCC_Tokenizer | [
"license:cc-by-4.0",
"region:us"
] | 2022-03-11T02:14:02+00:00 | {"license": "cc-by-4.0"} | 2022-03-11T02:18:16+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| The Tokenizer for Clinical Cases Written in Spanish
===================================================
Introduction
------------
This repository contains the tokenization model trained using the SPACCC\_TOKEN corpus (URL The model was trained using the 90% of the corpus (900 clinical cases) and tested against the ... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
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5ff2b006ea74699eccd393a5a0f3b99396d01e0c |
## Introduction
These are the train, development, test and background sets of the CodiEsp corpus. Train and development have gold standard annotations. The unannotated background and test sets are distributed together. All documents are released in the context of the CodiEsp track for CLEF ehealth 2020 (http://temu.... | Biomedical-TeMU/CodiEsp_corpus | [
"license:cc-by-4.0",
"region:us"
] | 2022-03-11T02:19:32+00:00 | {"license": "cc-by-4.0"} | 2022-03-11T02:24:53+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## Introduction
These are the train, development, test and background sets of the CodiEsp corpus. Train and development have gold standard annotations. The unannotated background and test sets are distributed together. All documents are released in the context of the CodiEsp track for CLEF ehealth 2020 (URL
The C... | [
"## Introduction\r\nThese are the train, development, test and background sets of the CodiEsp corpus. Train and development have gold standard annotations. The unannotated background and test sets are distributed together. All documents are released in the context of the CodiEsp track for CLEF ehealth 2020 (URL\r\n... | [
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38ccb945600346d52580891d6d77f5c2bfaae069 | # PersianNER
Named-Entity Recognition in Persian Language
## ArmanPersoNERCorpus
This is the first manually-annotated Persian named-entity (NE) dataset (ISLRN 399-379-640-828-6). We are releasing it only for academic research use.
The dataset includes 250,015 tokens and 7,682 Persian sentences in total. It is availa... | Khedesh/ArmanNER | [
"region:us"
] | 2022-03-11T08:13:29+00:00 | {} | 2022-03-11T10:42:30+00:00 | [] | [] | TAGS
#region-us
| # PersianNER
Named-Entity Recognition in Persian Language
## ArmanPersoNERCorpus
This is the first manually-annotated Persian named-entity (NE) dataset (ISLRN 399-379-640-828-6). We are releasing it only for academic research use.
The dataset includes 250,015 tokens and 7,682 Persian sentences in total. It is availa... | [
"# PersianNER\nNamed-Entity Recognition in Persian Language",
"## ArmanPersoNERCorpus \nThis is the first manually-annotated Persian named-entity (NE) dataset (ISLRN 399-379-640-828-6). We are releasing it only for academic research use.\n\nThe dataset includes 250,015 tokens and 7,682 Persian sentences in total.... | [
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"passage: TAGS\n#region-us \n# PersianNER\nNamed-Entity Recognition in Persian Language## ArmanPersoNERCorpus \nThis is the first manually-annotated Persian named-entity (NE) dataset (ISLRN 399-379-640-828-6). We are releasing it only for academic research use.\n\nThe dataset includes 250,015 tokens and 7,682 Persi... |
04bb1414d14d63bffc026c6f12d047b7a3232930 | ## Dataset Description
- **Homepage:** https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
- **Paper:** https://arxiv.org/abs/1703.10593
### Dataset Summary
This dataset was obtained from the original CycleGAN Datasets directory available on [Berkeley's website](https://people.eecs.berkeley.edu/~taesung... | gigant/horse2zebra | [
"task_categories:image-to-image",
"license:cc",
"GAN",
"unpaired-image-to-image-translation",
"arxiv:1703.10593",
"region:us"
] | 2022-03-11T09:59:03+00:00 | {"license": "cc", "task_categories": ["image-to-image"], "task_ids": [], "pretty_name": "Horse2Zebra", "tags": ["GAN", "unpaired-image-to-image-translation"]} | 2022-10-24T16:37:53+00:00 | [
"1703.10593"
] | [] | TAGS
#task_categories-image-to-image #license-cc #GAN #unpaired-image-to-image-translation #arxiv-1703.10593 #region-us
| ## Dataset Description
- Homepage: URL
- Paper: URL
### Dataset Summary
This dataset was obtained from the original CycleGAN Datasets directory available on Berkeley's website.
For more details about the dataset you can refer to the original CycleGAN publication.
### How to use
You can easily load the dataset wit... | [
"## Dataset Description\n- Homepage: URL\n- Paper: URL",
"### Dataset Summary\n\nThis dataset was obtained from the original CycleGAN Datasets directory available on Berkeley's website.\n\n\nFor more details about the dataset you can refer to the original CycleGAN publication.",
"### How to use\n\nYou can easil... | [
"TAGS\n#task_categories-image-to-image #license-cc #GAN #unpaired-image-to-image-translation #arxiv-1703.10593 #region-us \n",
"## Dataset Description\n- Homepage: URL\n- Paper: URL",
"### Dataset Summary\n\nThis dataset was obtained from the original CycleGAN Datasets directory available on Berkeley's website.... | [
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"passage: TAGS\n#task_categories-image-to-image #license-cc #GAN #unpaired-image-to-image-translation #arxiv-1703.10593 #region-us \n## Dataset Description\n- Homepage: URL\n- Paper: URL### Dataset Summary\n\nThis dataset was obtained from the original CycleGAN Datasets directory available on Berkeley's website.\n\... |
f90b0fced2b6b7d1fb3fcdb04cb5b754eafab378 | # GEM Submission
Submission name: Macro
| GEM-submissions/ratishsp__macro__1646998904 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-11T11:41:45+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "Macro", "tags": ["evaluation", "benchmark"]} | 2022-03-11T11:41:47+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: Macro
| [
"# GEM Submission\n\nSubmission name: Macro"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: Macro"
] | [
19,
11
] | [
"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: Macro"
] |
b8e66595f3f7e20f5c2a6f69be3504d2e97d790b |
# Dataset Card for Zeel/common
| Zeel/common | [
"language:en",
"region:us"
] | 2022-03-12T00:18:08+00:00 | {"language": ["en"], "pretty_name": "common"} | 2022-10-25T09:22:40+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
# Dataset Card for Zeel/common
| [
"# Dataset Card for Zeel/common"
] | [
"TAGS\n#language-English #region-us \n",
"# Dataset Card for Zeel/common"
] | [
10,
10
] | [
"passage: TAGS\n#language-English #region-us \n# Dataset Card for Zeel/common"
] |
ce7b8f1a30bfae5184e554a5bf44b76b9e8fc011 |
# CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
This repo contains the data for the NeurIPS 2021 benchmark [Constrained Language Understanding Evaluation Standard (CLUES)](https://openreview.net/pdf?id=VhIIQBm00VI).
## Leaderboard
We maintain a [Leaderboard](https://github.com/microso... | microsoft/CLUES | [
"license:mit",
"region:us"
] | 2022-03-12T01:26:23+00:00 | {"license": "mit"} | 2022-03-25T22:05:58+00:00 | [] | [] | TAGS
#license-mit #region-us
| CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
=====================================================================
This repo contains the data for the NeurIPS 2021 benchmark Constrained Language Understanding Evaluation Standard (CLUES).
Leaderboard
-----------
We maintain a Leaderboard a... | [
"### Submission Instructions\n\n\n* Each submission must be submitted as a pull request modifying the markdown file underlying the leaderboard.\n* The submission must attach an accompanying public paper and public source code for reproducing their results on our dataset.\n* A submission can be toward any subset of ... | [
"TAGS\n#license-mit #region-us \n",
"### Submission Instructions\n\n\n* Each submission must be submitted as a pull request modifying the markdown file underlying the leaderboard.\n* The submission must attach an accompanying public paper and public source code for reproducing their results on our dataset.\n* A s... | [
11,
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"passage: TAGS\n#license-mit #region-us \n### Submission Instructions\n\n\n* Each submission must be submitted as a pull request modifying the markdown file underlying the leaderboard.\n* The submission must attach an accompanying public paper and public source code for reproducing their results on our dataset.\n* ... |
3c70f2fe25f7c73d2460f77a4c3f8b1aa8a6e819 |
# Review Hotel in Indonesia
### Dataset Summary
Data about reviews of hotels in Indonesia
### Languages
Indonesia
## Dataset Structure
### Data Fields
- review_id : unique identification code of each review
- review_text : the main review of text
- category : label for each review, positive (1)... | rakkaalhazimi/hotel-review | [
"license:gpl-3.0",
"region:us"
] | 2022-03-12T05:52:57+00:00 | {"license": "gpl-3.0"} | 2022-03-12T07:23:47+00:00 | [] | [] | TAGS
#license-gpl-3.0 #region-us
|
# Review Hotel in Indonesia
### Dataset Summary
Data about reviews of hotels in Indonesia
### Languages
Indonesia
## Dataset Structure
### Data Fields
- review_id : unique identification code of each review
- review_text : the main review of text
- category : label for each review, positive (1)... | [
"# Review Hotel in Indonesia",
"### Dataset Summary\r\n\r\nData about reviews of hotels in Indonesia",
"### Languages\r\n\r\nIndonesia",
"## Dataset Structure",
"### Data Fields\r\n\r\n- review_id : unique identification code of each review\r\n- review_text : the main review of text\r\n- category : label fo... | [
"TAGS\n#license-gpl-3.0 #region-us \n",
"# Review Hotel in Indonesia",
"### Dataset Summary\r\n\r\nData about reviews of hotels in Indonesia",
"### Languages\r\n\r\nIndonesia",
"## Dataset Structure",
"### Data Fields\r\n\r\n- review_id : unique identification code of each review\r\n- review_text : the ma... | [
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"passage: TAGS\n#license-gpl-3.0 #region-us \n# Review Hotel in Indonesia### Dataset Summary\r\n\r\nData about reviews of hotels in Indonesia### Languages\r\n\r\nIndonesia## Dataset Structure### Data Fields\r\n\r\n- review_id : unique identification code of each review\r\n- review_text : the main review of text\r\n... |
67f9dbf9e17ada0dcdc47e05ad9b37ed01f8e82f |
## How to use the data sets
This dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined
binding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom). These
are represented by a list that contains the positions of n... | jglaser/protein_ligand_contacts | [
"molecules",
"chemistry",
"SMILES",
"region:us"
] | 2022-03-12T07:09:53+00:00 | {"tags": ["molecules", "chemistry", "SMILES"]} | 2022-03-15T21:17:32+00:00 | [] | [] | TAGS
#molecules #chemistry #SMILES #region-us
|
## How to use the data sets
This dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined
binding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom). These
are represented by a list that contains the positions of n... | [
"## How to use the data sets\n\nThis dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined\nbinding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom). These\nare represented by a list that contains the positi... | [
"TAGS\n#molecules #chemistry #SMILES #region-us \n",
"## How to use the data sets\n\nThis dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined\nbinding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom). Th... | [
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"passage: TAGS\n#molecules #chemistry #SMILES #region-us \n## How to use the data sets\n\nThis dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined\nbinding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom).... |
eeaa09638c5722e13fffd2daeaba4c2bec824d41 | # Dataset Card for Genecorpus-30M
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Species](#species)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-ins... | ctheodoris/Genecorpus-30M | [
"license:apache-2.0",
"region:us"
] | 2022-03-12T21:21:46+00:00 | {"license": "apache-2.0"} | 2023-11-11T06:42:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Dataset Card for Genecorpus-30M
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Species
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitiv... | [
"# Dataset Card for Genecorpus-30M",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Species\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n ... | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Dataset Card for Genecorpus-30M",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Species\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Ra... | [
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for Genecorpus-30M## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Species\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Ratio... |
9d24e08b068f24f80d9b3679e3806fe1c1be8fb3 | #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (https://huggingface.co/datasets/catalonia_independence) on the Hub. It has just the Catalan language version. | SetFit/catalonia_independence_ca | [
"region:us"
] | 2022-03-13T02:43:15+00:00 | {} | 2022-03-13T09:10:29+00:00 | [] | [] | TAGS
#region-us
| #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (URL on the Hub. It has just the Catalan language version. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4d0ae2a3df2769cd4eff981ae8184b9fd72b0798 | #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (https://huggingface.co/datasets/catalonia_independence) on the Hub. It has just the Spanish language version. | SetFit/catalonia_independence_es | [
"region:us"
] | 2022-03-13T02:44:02+00:00 | {} | 2022-03-13T09:11:31+00:00 | [] | [] | TAGS
#region-us
| #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (URL on the Hub. It has just the Spanish language version. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7fa32cf76b45dceb224903152c34dfa13718dfb2 | #xglue nc
This dataset is a port of the official ['xglue' dataset] (https://huggingface.co/datasets/xglue) on the Hub. It has just the news category classification section. It has been reduced to just 3 columns (plus text label) that are relevant to the SetFit task. Validation and test in English, Spanish, French, Rus... | SetFit/xglue_nc | [
"region:us"
] | 2022-03-13T02:44:23+00:00 | {} | 2022-03-14T03:27:58+00:00 | [] | [] | TAGS
#region-us
| #xglue nc
This dataset is a port of the official ['xglue' dataset] (URL on the Hub. It has just the news category classification section. It has been reduced to just 3 columns (plus text label) that are relevant to the SetFit task. Validation and test in English, Spanish, French, Russian, and German. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
bb25d49f17c86f7affb193c18e0511afcd51b933 | #amazon reviews multi german
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the German language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | SetFit/amazon_reviews_multi_de | [
"region:us"
] | 2022-03-13T02:45:18+00:00 | {} | 2022-03-23T15:34:53+00:00 | [] | [] | TAGS
#region-us
| #amazon reviews multi german
This dataset is a port of the official ['amazon_reviews_multi' dataset] (URL on the Hub. It has just the German language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
16015418b488c9186fce74b058877ea939ca934d | #amazon reviews multi spanish
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Spanish language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | SetFit/amazon_reviews_multi_es | [
"region:us"
] | 2022-03-13T02:45:47+00:00 | {} | 2022-03-23T15:43:09+00:00 | [] | [] | TAGS
#region-us
| #amazon reviews multi spanish
This dataset is a port of the official ['amazon_reviews_multi' dataset] (URL on the Hub. It has just the Spanish language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
77676678b2e9e03265aae02823ba2f77b531d11a | #amazon reviews multi japanese
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Japanese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | SetFit/amazon_reviews_multi_ja | [
"region:us"
] | 2022-03-13T02:46:28+00:00 | {} | 2022-03-23T15:40:06+00:00 | [] | [] | TAGS
#region-us
| #amazon reviews multi japanese
This dataset is a port of the official ['amazon_reviews_multi' dataset] (URL on the Hub. It has just the Japanese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
184ac90d5511a7f6801cba99688892f440ece660 | #amazon reviews multi chinese
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Chinese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | SetFit/amazon_reviews_multi_zh | [
"region:us"
] | 2022-03-13T02:46:40+00:00 | {} | 2022-03-23T15:30:49+00:00 | [] | [] | TAGS
#region-us
| #amazon reviews multi chinese
This dataset is a port of the official ['amazon_reviews_multi' dataset] (URL on the Hub. It has just the Chinese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
3a43b31171a667fb0bb7a298e143fd022266f78b | #amazon reviews multi french
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the French language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | SetFit/amazon_reviews_multi_fr | [
"region:us"
] | 2022-03-13T02:48:20+00:00 | {} | 2022-03-23T15:45:44+00:00 | [] | [] | TAGS
#region-us
| #amazon reviews multi french
This dataset is a port of the official ['amazon_reviews_multi' dataset] (URL on the Hub. It has just the French language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7c9a79666d13e6d27ee74279fccdca11decbfb5d | #toy dataset
This is a small portion of the full dataset, used for testing and formatting purposes.
| multiIR/toy_data | [
"region:us"
] | 2022-03-13T04:08:34+00:00 | {} | 2022-03-14T10:33:27+00:00 | [] | [] | TAGS
#region-us
| #toy dataset
This is a small portion of the full dataset, used for testing and formatting purposes.
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f9dd0d78228c6840ae9d97ffb7b8d6dfbbbc8634 |
The `post-data-by-subreddit.tar` file contains 5000 gzipped json files - one for each of the top 5000 subreddits (as roughly measured by subscriber count and comment activity). Each of those json files (e.g. `askreddit.json`) contains an array of the data for the top 1000 posts of all time.
Notes:
* I stopped cr... | rocca/top-reddit-posts | [
"license:mit",
"region:us"
] | 2022-03-13T05:06:55+00:00 | {"license": "mit"} | 2022-03-23T05:16:33+00:00 | [] | [] | TAGS
#license-mit #region-us
|
The 'URL' file contains 5000 gzipped json files - one for each of the top 5000 subreddits (as roughly measured by subscriber count and comment activity). Each of those json files (e.g. 'URL') contains an array of the data for the top 1000 posts of all time.
Notes:
* I stopped crawling a subreddit's top-posts lis... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
dd5650eb094112f8913c5c9f907e43008aeb52cf | From the Evaluating Student Writing Kaggle competition. | carbon12/evaluating_student_writing | [
"region:us"
] | 2022-03-13T05:16:30+00:00 | {} | 2022-03-13T13:03:06+00:00 | [] | [] | TAGS
#region-us
| From the Evaluating Student Writing Kaggle competition. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
749b7eac6d013c77d95ba1b744bb88ac436ca48b | This dataset contains MFCC feature extracted for 646 short speech audios | Parmann/speech_classification | [
"region:us"
] | 2022-03-13T08:30:16+00:00 | {} | 2022-03-13T08:32:04+00:00 | [] | [] | TAGS
#region-us
| This dataset contains MFCC feature extracted for 646 short speech audios | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
088baa7f2aa235290fb8a35850cee1e70bd5ce25 | # text-to-text format from superglue axg
# Note that RTE train and val set has been added
axg: DatasetDict({
test: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 356
})
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_row... | stjokerli/TextToText_axg_seqio | [
"region:us"
] | 2022-03-13T10:08:17+00:00 | {} | 2022-04-04T09:24:18+00:00 | [] | [] | TAGS
#region-us
| # text-to-text format from superglue axg
# Note that RTE train and val set has been added
axg: DatasetDict({
test: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 356
})
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_row... | [
"# text-to-text format from superglue axg",
"# Note that RTE train and val set has been added\n\naxg: DatasetDict({\n test: Dataset({\n features: ['idx', 'inputs', 'targets'],\n num_rows: 356\n })\n train: Dataset({\n features: ['idx', 'inputs', 'targets'],\n ... | [
"TAGS\n#region-us \n",
"# text-to-text format from superglue axg",
"# Note that RTE train and val set has been added\n\naxg: DatasetDict({\n test: Dataset({\n features: ['idx', 'inputs', 'targets'],\n num_rows: 356\n })\n train: Dataset({\n features: ['idx',... | [
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"passage: TAGS\n#region-us \n# text-to-text format from superglue axg# Note that RTE train and val set has been added\n\naxg: DatasetDict({\n test: Dataset({\n features: ['idx', 'inputs', 'targets'],\n num_rows: 356\n })\n train: Dataset({\n features: ['idx', 'i... |
aa9340e5512f9d1c196b34645346db83107a0cd3 | axb: DatasetDict({
test: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 1104
})
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 2490
})
validation: Dataset({
features: ['idx', 'inputs', 't... | stjokerli/TextToText_axb_seqio | [
"region:us"
] | 2022-03-13T10:08:23+00:00 | {} | 2022-04-04T09:25:39+00:00 | [] | [] | TAGS
#region-us
| axb: DatasetDict({
test: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 1104
})
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 2490
})
validation: Dataset({
features: ['idx', 'inputs', 't... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4dc1c8da193d078c788bccf7eebbc301c754b121 | [Needs More Information]
# Dataset Card for ph-en-text
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances... | joypersicanon/ph-en-text | [
"region:us"
] | 2022-03-13T10:16:38+00:00 | {} | 2022-03-17T13:30:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for ph-en-text
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive I... | [
"# Dataset Card for ph-en-text",
"## Table of Contents\r\n- Dataset Description\r\n - Dataset Summary\r\n - Supported Tasks\r\n - Languages\r\n- Dataset Structure\r\n - Data Instances\r\n - Data Fields\r\n - Data Splits\r\n- Dataset Creation\r\n - Curation Rationale\r\n - Source Data\r\n - Annotations\r\... | [
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"# Dataset Card for ph-en-text",
"## Table of Contents\r\n- Dataset Description\r\n - Dataset Summary\r\n - Supported Tasks\r\n - Languages\r\n- Dataset Structure\r\n - Data Instances\r\n - Data Fields\r\n - Data Splits\r\n- Dataset Creation\r\n - Curation Rationale\r\n - Source D... | [
6,
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cc60812b3dc5abb00043962616195c023c7c27a2 |
# Top Quark Tagging Reference Dataset
A set of MC simulated training/testing events for the evaluation of top quark tagging architectures.
In total 1.2M training events, 400k validation events and 400k test events. Use “train” for training, “val” for validation during the training and “test” for final testing a... | lewtun/top_quark_tagging | [
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|
# Top Quark Tagging Reference Dataset
A set of MC simulated training/testing events for the evaluation of top quark tagging architectures.
In total 1.2M training events, 400k validation events and 400k test events. Use “train” for training, “val” for validation during the training and “test” for final testing a... | [
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845aaad797f618d1f8c9b42c3cb5919f0becdb2a |
Paper: [Understanding Iterative Revision from Human-Written Text](https://arxiv.org/abs/2203.03802)
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: https://github.com/vipulraheja/IteraTeR
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Paper: Understanding Iterative Revision from Human-Written Text
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: URL
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792d5310cc82446cccfd3cd8953893b831538976 |
Paper: [Understanding Iterative Revision from Human-Written Text](https://arxiv.org/abs/2203.03802)
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: https://github.com/vipulraheja/IteraTeR
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Paper: Understanding Iterative Revision from Human-Written Text
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: URL
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e22e0371dac444239b944f9293f5b491d62b73f0 |
Paper: [Understanding Iterative Revision from Human-Written Text](https://arxiv.org/abs/2203.03802)
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: https://github.com/vipulraheja/IteraTeR
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Paper: Understanding Iterative Revision from Human-Written Text
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: URL
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3b0bdabb090d04062ebc17e54ac889a64f5cb791 |
Paper: [Understanding Iterative Revision from Human-Written Text](https://arxiv.org/abs/2203.03802)
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: https://github.com/vipulraheja/IteraTeR
| wanyu/IteraTeR_human_doc | [
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Paper: Understanding Iterative Revision from Human-Written Text
Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang
Github repo: URL
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1a2b7bc94feea59665740ea295e504c41b8f9c39 | # AutoNLP Dataset for project: ALBERTFINALYEAR
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This da... | Aclairs/ALBERTFINALYEAR | [
"region:us"
] | 2022-03-14T05:29:43+00:00 | {} | 2022-03-14T05:56:07+00:00 | [] | [] | TAGS
#region-us
| AutoNLP Dataset for project: ALBERTFINALYEAR
============================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed... | [
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e0536f5bfc7c35bb62f104bb2400c2b36b6029ef | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1647246406 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-14T08:26:50+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-03-14T08:26:51+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
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1d84bb9af6e19a7cd6860f4e3149f951e7c1c018 | # GEM Submission
Submission name: mT5_xl
| GEM-submissions/lewtun__mt5_xl__1647246454 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-14T08:27:38+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "mT5_xl", "tags": ["evaluation", "benchmark"]} | 2022-03-14T08:27:39+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: mT5_xl
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2bd261e242dd6801c5bf27ed6dfbe28309ba0387 | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1647247409 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-14T08:43:33+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-03-14T08:43:34+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
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39719e276a1e76288e53e4ab8743ffb0ceb7bbe0 |
# Dataset Card for BLURB
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | EMBO/BLURB | [
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"task_ids:text-sco... | 2022-03-14T10:29:16+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering", "token-classification", "sentence-simil... | 2022-12-09T07:57:37+00:00 | [
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======================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
... | [
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2e7a18495a4a6b869d49c68c6def0bffc7e1135e | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1647256250 | [
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#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
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fac45b3184e0ce9b79eecac454acf17e0a51f94e |
# Dataset Card for WikiTableQuestions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Dat... | wikitablequestions | [
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| Dataset Card for WikiTableQuestions
===================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotati... | [
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"### Languages\n\n\nen\n\n\nDataset Structure\n-----------------",
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b6ef2478821cfd61a28b32b10598cf2d23608d33 |
# UK PV dataset
PV solar generation data from the UK.
This dataset contains data from 1311 PV systems from 2018 to 2021.
Time granularity varies from 2 minutes to 30 minutes.
This data is collected from live PV systems in the UK. We have obfuscated the location of the PV systems for privacy.
If you are the owner of... | openclimatefix/uk_pv | [
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... | 2022-03-14T12:20:19+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1B<n<10B"], "source_datasets": ["original"], "task_categories": ["time-series-forecasting"], "task_ids": ["multivariate-time-series... | 2022-11-30T17:02:42+00:00 | [] | [
"en"
] | TAGS
#task_categories-time-series-forecasting #task_ids-multivariate-time-series-forecasting #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1B<n<10B #source_datasets-original #language-English #license-mit #pv #photovoltaic #environment #climat... |
# UK PV dataset
PV solar generation data from the UK.
This dataset contains data from 1311 PV systems from 2018 to 2021.
Time granularity varies from 2 minutes to 30 minutes.
This data is collected from live PV systems in the UK. We have obfuscated the location of the PV systems for privacy.
If you are the owner of... | [
"# UK PV dataset\n\nPV solar generation data from the UK. \nThis dataset contains data from 1311 PV systems from 2018 to 2021.\nTime granularity varies from 2 minutes to 30 minutes.\n\nThis data is collected from live PV systems in the UK. We have obfuscated the location of the PV systems for privacy.\nIf you are t... | [
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090cbc0841fe628b18037e73de742959bffaec77 | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1647263213 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-14T13:06:57+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-03-14T13:06:58+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
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d2146561ecc7df707d9e6b8318885fe6a39668a2 |
# Dataset Card for GTZAN
## Table of Contents
- [Dataset Card for GTZAN](#dataset-card-for-gtzan)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data ... | marsyas/gtzan | [
"region:us"
] | 2022-03-14T14:54:59+00:00 | {"pretty_name": "GTZAN"} | 2023-11-26T18:57:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for GTZAN
## Table of Contents
- Dataset Card for GTZAN
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Initial Data... | [
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73a091b01dfbf7865ee2d1ebef45f2e0cc7c6f73 |
# Dataset Card for GEM/xwikis
## Dataset Description
- **Homepage:** https://github.com/lauhaide/clads
- **Repository:** [Needs More Information]
- **Paper:** https://arxiv.org/abs/2202.09583
- **Leaderboard:** N/A
- **Point of Contact:** Laura Perez-Beltrachini
### Link to Main Data Card
You can find the main dat... | GEM/xwikis | [
"task_categories:summarization",
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"language:de",
"language:en",
"language:fr",
"language:cs",
"license:cc-by-sa-4.0",
"arxiv:2202.09583",
"region:us"
] | 2022-03-14T15:31:48+00:00 | {"annotations_creators": ["found"], "language_creators": ["unknown"], "language": ["de", "en", "fr", "cs"], "license": ["cc-by-sa-4.0"], "multilinguality": ["unknown"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "xwikis"} | 2023-02-22T13:05:19+00:00 | [
"2202.09583"
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|
# Dataset Card for GEM/xwikis
## Dataset Description
- Homepage: URL
- Repository:
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Laura Perez-Beltrachini
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
The XWikis Corpus provides datasets with different la... | [
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648664f0f63aa5901cc1bcdc2922558433c07dc7 |
# Dataset Card for "oscar"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | oscar-corpus/OSCAR-2201 | [
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... | 2022-03-14T23:09:14+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["af", "sq", "am", "ar", "an", "hy", "as", "ast", "av", "az", "bn", "ba", "eu", "be", "bh", "bpy", "bs", "br", "bg", "my", "ca", "ceb", "ckb", "ce", "zh", "cv", "kw", "hr", "cs", "da", "diq", "dv", "nl", "mhr", "arz", "en", "eo", "e... | 2023-05-30T06:48:15+00:00 | [
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========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
... | [
"### Dataset Summary\n\n\nOSCAR or Open Super-large Crawled Aggregated coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the ungoliant architecture. Data is distributed by language in both original and deduplicated form.\n\n\nWe are aware of the ... | [
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6e8665ced0dc6c8f274e1e496a2187b11fe0832d | # Dataset Card for Cartoon Set
## Table of Contents
- [Dataset Card for Cartoon Set](#dataset-card-for-cartoon-set)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Usage](#usage)
- [Dataset Structure](#dataset-struct... | cgarciae/cartoonset | [
"size_categories:10K<n<100K",
"license:cc-by-4.0",
"arxiv:1711.05139",
"region:us"
] | 2022-03-14T23:35:29+00:00 | {"license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["image", "computer-vision", "generative-modelling"], "pretty_name": "Cartoon Set"} | 2022-03-23T19:12:10+00:00 | [
"1711.05139"
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#size_categories-10K<n<100K #license-cc-by-4.0 #arxiv-1711.05139 #region-us
| # Dataset Card for Cartoon Set
## Table of Contents
- Dataset Card for Cartoon Set
- Table of Contents
- Dataset Description
- Dataset Summary
- Usage
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Licensing Information
- Citation... | [
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f887b0aa23f386116e46690f4630b2f2c204a880 |
# Dataset Card for "Hebrew_Squad_v1"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-ins... | tdklab/Hebrew_Squad_v1 | [
"task_categories:question-answering",
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"source_datasets:squad",
"region:us"
] | 2022-03-15T00:43:59+00:00 | {"annotations_creators": ["auto_translation"], "language_creators": ["auto_translation"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["squad"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "Hebrew_Squad_v1", "languages": ["Hebrew... | 2022-08-04T03:59:05+00:00 | [] | [] | TAGS
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| Dataset Card for "Hebrew\_Squad\_v1"
====================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Sour... | [
"### Dataset Summary\n\n\nStanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be u... | [
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1161216f7e7185a4b2f4d0a4e0734dc7919dfa15 |
# Dataset Card for CoNLL2012 shared task data based on OntoNotes 5.0
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages... | conll2012_ontonotesv5 | [
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"annotations_creators:expert-generated",
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"multil... | 2022-03-15T10:48:28+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ar", "en", "zh"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-... | 2024-01-18T09:34:57+00:00 | [] | [
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# Dataset Card for CoNLL2012 shared task data based on OntoNotes 5.0
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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80ce985b32bd618df18f86436893249c60add630 | # AutoNLP Dataset for project: tweet-sentiment
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This da... | victor/autonlp-data-tweet-sentiment | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-03-15T11:10:29+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-25T09:03:17+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoNLP Dataset for project: tweet-sentiment
============================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
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a6f9aa7bda62c328bd642d32316c63e3387210ec | # BWNS: The Baha'i World News Service dataset.
BWNS articles from 2000 to 2022.
| Dayyan/bwns | [
"region:us"
] | 2022-03-15T19:45:05+00:00 | {} | 2022-03-17T14:41:53+00:00 | [] | [] | TAGS
#region-us
| # BWNS: The Baha'i World News Service dataset.
BWNS articles from 2000 to 2022.
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689f949a36ec83a2a6f14e1fc4a52cf22a704d56 | # DISCO: Diachronic Spanish Sonnet Corpus
[](https://zenodo.org/badge/latestdoi/103841064)
The Diachronic Spanish Sonnet Corpus (DISCO) contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). I... | jorge-henao/disco_poetry_spanish | [
"region:us"
] | 2022-03-16T03:42:59+00:00 | {} | 2022-03-17T03:19:06+00:00 | [] | [] | TAGS
#region-us
| # DISCO: Diachronic Spanish Sonnet Corpus
 contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less canonized ones.
This is a CSV compila... | [
"# DISCO: Diachronic Spanish Sonnet Corpus\n contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less canonized ones. \n\nThis is a C... | [
"TAGS\n#region-us \n",
"# DISCO: Diachronic Spanish Sonnet Corpus\n contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less canoni... | [
6,
120
] | [
"passage: TAGS\n#region-us \n# DISCO: Diachronic Spanish Sonnet Corpus\n contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less can... |
fbeac939f336b47d75f06167cf339f6706fbafdc |
# Dataset Card for frwiki_good_pages_el
## Dataset Description
- Repository: [enwiki_el](https://github.com/GaaH/enwiki_el)
- Point of Contact: [Gaëtan Caillaut](mailto://g.caillaut@brgm.fr)
### Dataset Summary
It is intended to be used to train Entity Linking (EL) systems. Links in Wikipedia articles are used to ... | gcaillaut/enwiki_el | [
"task_categories:other",
"annotations_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"license:wtfpl",
"region:us"
] | 2022-03-16T10:16:09+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": [], "language": ["en-EN"], "license": ["wtfpl"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": [], "pretty_name": "test"} | 2022-07-04T11:36:35+00:00 | [] | [
"en-EN"
] | TAGS
#task_categories-other #annotations_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #license-wtfpl #region-us
|
# Dataset Card for frwiki_good_pages_el
## Dataset Description
- Repository: enwiki_el
- Point of Contact: Gaëtan Caillaut
### Dataset Summary
It is intended to be used to train Entity Linking (EL) systems. Links in Wikipedia articles are used to detect named entities.
### Languages
- English
## Dataset Structu... | [
"# Dataset Card for frwiki_good_pages_el",
"## Dataset Description\n\n- Repository: enwiki_el\n- Point of Contact: Gaëtan Caillaut",
"### Dataset Summary\n\nIt is intended to be used to train Entity Linking (EL) systems. Links in Wikipedia articles are used to detect named entities.",
"### Languages\n\n- Engl... | [
"TAGS\n#task_categories-other #annotations_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #license-wtfpl #region-us \n",
"# Dataset Card for frwiki_good_pages_el",
"## Dataset Description\n\n- Repository: enwiki_el\n- Point of Contact: Gaëtan Caillaut"... | [
60,
14,
24,
36,
6,
230
] | [
"passage: TAGS\n#task_categories-other #annotations_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #license-wtfpl #region-us \n# Dataset Card for frwiki_good_pages_el## Dataset Description\n\n- Repository: enwiki_el\n- Point of Contact: Gaëtan Caillaut### ... |
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